{"id":"W6976447325","doi":"10.6068/dp1753342983371","title":"TREND: Stevens Analytics. Continuous Futures: Future Daily Settle Price | Symbol: -- | Exchange: All Exchanges | Symbol: FF, 10/03/1988 - 10/15/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 095-001-003","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Closing (real estate); Order (exchange); Spread trade; Forward contract; Forward market; Publishing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001351936,0.002153698,0.001258065,0.003201815,0.0007492611,0.003802351,0.003198581,0.001649093,0.1922143],"category_scores_gemma":[0.00993837,0.0008641779,0.001169076,0.006277834,0.0004049155,0.003504256,0.002797561,0.002450312,0.3168905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125134,"about_ca_system_score_gemma":0.001894327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01700905,"about_ca_topic_score_gemma":0.03197927,"domain_scores_codex":[0.9987361,0.000134995,0.0001647372,0.0004042991,0.0003788517,0.0001809988],"domain_scores_gemma":[0.9962867,0.0006314001,0.0003681393,0.001031834,0.001324501,0.0003573284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000168662,0.000006973628,0.0003524456,0.0001322333,0.000007266448,0.000005850555,0.00001060362,0.00006212285,0.00003817392,0.0003116552,0.9975179,0.001537926],"study_design_scores_gemma":[0.0001112575,0.0000143829,0.002469455,0.0002623693,0.00001663869,0.00002616251,0.00009056973,0.0005383995,0.0003037587,0.002247008,0.9938816,0.00003842542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000739008,0.00002693577,0.0001439451,0.0001017721,0.00005136084,0.00001569875,0.9967372,0.001418127,0.001431148],"genre_scores_gemma":[0.0003173771,0.00003863263,0.0005143942,0.00007747087,0.00002101301,0.00008407691,0.9972801,0.0003609001,0.001305857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1922143,"threshold_uncertainty_score":0.6430207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336474400538754,"score_gpt":0.27662791808587,"score_spread":0.2432631740804825,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}